一种基于神经网络的跳频信号频率预测方法

摘要

对跳频通信进行有效干扰的关键在于对跳频信号的频率进行较准确的预测，本文就此提出了一种基于神经网络的对跳频信号频率进行预测的新方法。该方法利用了神经网络的非线性映射能力，能够较好地对目标进行预测。仿真实验的结果表明该方法有很强的实用性，值得进一步研究。%The key to jam frequency-hopping communication is to predict itsfrequencies efficiently and precisely. This paper brings forward a new method to predict Frequency-Hopping pattern based on neural network. With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target. Simulations demonstrate that the method has good practicality, and is valuable of further study.